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phoebe lu

T3 · host / generalist

Phoebe Lu covers Nvidia for The Information and broke the story on Nvidia's open-source model strategy and cloud spending scale-up.

1 call·1 name·0% bull·last heard 2 months ago·The Information
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$NVDANvidia

Nvidia doubles down on open-source AI with $30B cloud spend to diversify beyond mega-labs

Nvidia is aggressively investing in open-source model development (Nemotron 4) and scaling cloud compute spending to $30B annually — triple year-over-year — to broaden its customer base beyond a handful of mega-labs and stimulate GPU demand from smaller enterprises and emerging cloud providers.

The Information2026-08episode →

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$NVDA
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Nvidia
MEDphoebe lu·The Information·2 months ago·Nvidia Just Doubled Down on AI Models
Nvidia doubles down on open-source AI with $30B cloud spend to diversify beyond mega-labs
Nvidia is aggressively investing in open-source model development (Nemotron 4) and scaling cloud compute spending to $30B annually — triple year-over-year — to broaden its customer base beyond a handful of mega-labs and stimulate GPU demand from smaller enterprises and emerging cloud providers.
"the outstanding kind of multi-year cloud services bill for uh from the Nvidia regulatory filing from April 2026 was um about 30 billion and that's pretty much triple that of a yea…"
4:02
8
Open Source AItailwind
Nvidia targets best-in-class open model to challenge Chinese leaders and expand GPU demand
Nvidia's directive to build the world's best open-source model (Nemotron 4 Ultra) aims to spur Western open-source competition, enabling smaller customers to run agentic workloads locally on DGX Spark/Jetson hardware — ultimately driving broader GPU consumption beyond mega-labs.
7
Neoclouds & Cloud Computingtailwind
Nvidia stimulates neocloud ecosystem to diversify end-user compute demand
By releasing free routing software and small models optimized for on-prem/edge hardware, Nvidia encourages a broader base of cloud providers and end-users to consume GPU capacity, addressing customer concentration risk where OpenAI, Microsoft, and SpaceX dominate direct purchases.
7
AI Infrastructuretailwind
Nvidia's $30B cloud spend signals infrastructure play to unlock next growth phase
Tripling multi-year cloud commitments to ~$30B reflects Nvidia's strategy to seed compute capacity for emerging neoclouds and enterprise clusters, reducing reliance on hyperscaler intermediaries and creating a direct demand flywheel for its GPUs.
7
Open Source AItailwind
Nvidia spends $30B on cloud compute to build best open-source models
Nvidia is tripling its multi-year cloud services bill to $30B to train Nemotron 4, aiming to create the world's best open-source model and challenge Chinese leaders, thereby diversifying its customer base beyond a handful of hyperscalers and stimulating broader GPU demand.
6
AI Economics & Business Modelstailwind
Nvidia's open-source flywheel targets small customers to expand GPU demand
By releasing free models (Nemotron 3.5 Lightning) and routing software, Nvidia aims to enable smaller companies and robotics applications to run AI locally on DGX Spark and Jetson hardware, creating a broader base of compute consumers that ultimately drives chip sales through cloud providers.